RQ09823 Data ArchitectModeller Senior

Responsibilities:

• Develops and implements the data architecture for application development in a complex and distributed environment including the determination of the flow and distribution of data the location of databases and data access methods.
  
• Data Modeler (Senior) to review data models for source MECP applications and databases analyze and develop data model specifications for target Azure Data Lakehouse databases..
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• Demonstrated experience reviewing and analyzing business needs and requirements for existing IT applications and related data and designing target data models .
  
• Strong experience in research data analysis and development of effective IT data model designs.
  
• Work with related IT initiatives as required to align with the enterprise data modeling standards and requirements.
  
• Expert analytical skills and experience to analyze and understand source data models and data including developing data mappings for source and target systems.
  
• Excellent RDBMS knowledge including SQL skills for carrying out deep analysis and/or to confirm/validate data.
  
• Able to work and effectively engage with a multi-functional (e.g. Business Analysts SME Developers Architects etc.) team to ensure IT deliverables produced are of high quality.
  
• Able to understand the problem domain and target IT/business requirements and communicate data modeling outputs as required.
  
• Quick learner with ability to adapt and work independently with little or no supervision.
  
• Able to carry out research from a variety of sources to ensure alignment with current IT trends and best practices.
  
• Expert skills and experience with the use of data modeling tools.
  
• Ability to engage and provide information sharing support to IT architects (Business Information Solution and Technology) as may be required.
  
• Ensures integration with related corporate and client cluster policies and standards and incorporation of best practices in the industry.
  
• Knowledge and experience in creating developing and managing logical and physical data models.
  

Skill Set Requirements:

Core Skills and Experience (8 years):

• Demonstrated experience reviewing and analyzing business needs and requirements for existing IT applications and related data and designing target data models .
  
• Strong experience in research data analysis and development of effective IT data model designs.
  
• Work with related IT initiatives as required to align with the enterprise data modeling standards and requirements.
  
• Expert analytical skills and experience to analyze and understand source data models and data including developing data mappings for source and target systems.
  
• Excellent RDBMS knowledge including SQL skills for carrying out deep analysis and/or to confirm/validate data.
  
• Able to work and effectively engage with a multi-functional (e.g. Business Analysts SME Developers Architects etc.) team to ensure IT deliverables produced are of high quality.
  
• Able to understand the problem domain and target IT/business requirements and communicate data modeling outputs as required.
  
• Quick learner with ability to adapt and work independently with little or no supervision.
  
• Able to carry out research from a variety of sources to ensure alignment with current IT trends and best practices.
  
• Expert skills and experience with the use of data modeling tools.
  
• Ability to engage and provide information sharing support to IT architects (Business Information Solution and Technology) as may be required.
  
• Ensures integration with related corporate and client cluster policies and standards and incorporation of best practices in the industry.
  
• Knowledge and experience in creating developing and managing logical and physical data models.
  

Desirable Skills and Experience:

• Experience with Computer Aided Software Engineering (CASE) tools
  
• Experience with use of Python in aiding data processing activities.
  
• Knowledge and understanding of Information Management principles concepts policies and practices.
  
• Knowledge of Parquet Delta-Lake data formats.
  
• Knowledge of Azure Data Lakehouses Snowflake.